ZipRecruiter

Log In

2

Remote Software Engineer Gpu Jobs in Nevada (NOW HIRING)

TensorWave

Software Engineer - Front-End

Las Vegas, NV · On-site +1

About the Role We're looking for a Software Engineer - Front-End, to join our team during an ... Implement advanced state management and performance patterns to handle complex, real-time GPU ...

Motional

Senior Embedded Software Engineer

Las Vegas, NV · On-site +1

$149K - $198K/yr

If you are a software engineer and love the idea of working on embedded AI hardware and software ... be fully remote. The salary range for this role is an estimate based on a wide range of ...

SendCutSend Inc

Senior Software Engineer - SDET

Reno, NV · On-site +1

$160K - $200K/yr

Preference may be given to local Reno-area candidates, but we are open to remote candidates as well ... The SDET writes production-quality code (test infrastructure, E2E suites, tooling), participates in ...

TensorWave

Senior Machine Learning Engineer

Las Vegas, NV · On-site +1

$117K - $154K/yr

Strong understanding of GPU-accelerated workloads and distributed systems concepts * Solid Linux fundamentals and experience debugging infrastructure-level issues * Ability to build automation and ...

next page

Showing results 1-20

All JobsSoftware Engineer Gpu JobsRemote Software Engineer Gpu JobsRemote Software Engineer Gpu Jobs in Nevada

Remote Software Engineer Gpu information

What is the difference between Remote Software Engineer Gpu vs Remote Software Engineer?

AspectRemote Software Engineer GpuRemote Software Engineer
Required CredentialsBachelor's in CS, experience with GPU programming (CUDA, OpenCL)Bachelor's in CS or related, general programming skills
Work EnvironmentCollaborates with AI, graphics, or high-performance computing teamsWorks on diverse software projects across industries
Industry UsageTech, gaming, AI, scientific computingTech, finance, healthcare, startups

The main difference is that Remote Software Engineer Gpu specializes in GPU programming and high-performance computing, while a Remote Software Engineer has a broader focus on general software development across various domains. GPU roles require specific knowledge of GPU architectures and parallel processing, whereas general software engineers work on a wider range of applications.

What are the most commonly searched types of Software Engineer Gpu jobs in Nevada? The most popular types of Software Engineer Gpu jobs in Nevada are:
What are popular job titles related to Remote Software Engineer Gpu jobs in Nevada? For Remote Software Engineer Gpu jobs in Nevada, the most frequently searched job titles are:
What job categories do people searching Remote Software Engineer Gpu jobs in Nevada look for? The top searched job categories for Remote Software Engineer Gpu jobs in Nevada are:
What cities in Nevada are hiring for Remote Software Engineer Gpu jobs? Cities in Nevada with the most Remote Software Engineer Gpu job openings:
Remote Software Engineer Gpu jobs near you
Software Engineer, ML Dev Enablement

Software Engineer, ML Dev Enablement

Motional

Las Vegas, NV • On-site, Remote

Other

Posted 16 days ago

Job description

Mission Summary:

We are looking for a Software Engineer to join our ML Infrastructure: Dev Enablement Team. Our mission is to build a frictionless development environment that empowers our researchers and engineers to rapidly innovate on deep learning models for autonomous driving.

We manage a high-scale Cloud Development Environment (CDE) platform that provides standardized, high-performance workspaces for ML development. As we evolve, in this role, you'll spearhead high-impact initiatives: designing multi-cloud setups to maximize GPU availability, driving deep-level model optimization, and building next-generation Agentic AI toolings. You will play a pivotal role in ensuring our training ecosystem remains cutting-edge, resilient and highly efficient.

What You'll Be Doing:

  • Build Agentic AI Tooling: Design, develop, and enhance Agentic AI tools and systems to automate workflows, streamline the ML lifecycle, and empower developer productivity.
  • Scale Core Infrastructure: Drive the continuous development of our core ML infrastructure and existing CDE platform, leveraging Kubernetes to build robust, high-scale distributed solutions.
  • System-Level ML Optimization: Partner closely with ML Researchers to profile and optimize distributed training jobs (PyTorch/DDP) and data pipelines. Focus on resolving system-level bottlenecks-such as data loading (I/O), memory management, and network communication overhead-to maximize GPU utilization and training throughput.
  • Collaborate Cross-Functionally: Partner with ML engineers and data scientists to understand their complex needs, bridging the gap between underlying infrastructure and model development.

What We're Looking For:

  • BS or MS in Computer Science or related field
  • Strong knowledge of software engineering principles and distributed systems.
  • Strong proficiency with Python or Go or C++
  • Experience with building on AWS services or other Cloud platforms and container orchestration using Kubernetes.
  • Experience with the various stages of the ML development lifecycle
Bonus Points:
  • Hands-on experience with ML model profiling and performance optimization for distributed training.
  • Experience managing or working with high-performance compute resources (GPUs).
  • Experience with ML frameworks such as PyTorch or Ray.
  • Experience building, integrating, or enhancing Agentic AI systems and LLM-driven developer tools.

 We encourage a hybrid schedule with in-office time at our Las Vegas location to support collaboration, or this role can be fully remote.

Apply